CN113029584B - Method for obtaining standard load spectrum of finished automobile test - Google Patents
Method for obtaining standard load spectrum of finished automobile test Download PDFInfo
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- CN113029584B CN113029584B CN201911345720.0A CN201911345720A CN113029584B CN 113029584 B CN113029584 B CN 113029584B CN 201911345720 A CN201911345720 A CN 201911345720A CN 113029584 B CN113029584 B CN 113029584B
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Abstract
The embodiment of the invention relates to a method for obtaining a standard load spectrum of a finished automobile test, which comprises the following steps: (a) Obtaining standard load spectrum signals of at least two front wheels or at least two rear wheels based on time domain displacement signals of wheels in historical sample data; and (b) obtaining a standard load spectrum based on the wheel base of the vehicle under test and the standard load spectrum signals of the at least two front wheels or the at least two rear wheels.
Description
Technical Field
The embodiment of the invention relates to the field of bench road simulation tests in vehicle laboratories, in particular to a method for obtaining a standard load spectrum of a finished vehicle test.
Background
The fatigue endurance test of the whole vehicle in a test room is an effective means for finding problems and improving the product quality in an early stage. The whole vehicle four-upright-post road simulation testing machine is one of key devices for a whole vehicle test, can reproduce road random vibration load through time domain signal iteration, and simulates the motion of a whole vehicle under the excitation of the road random load.
The traditional method for testing the durability of the whole vehicle rack needs to acquire data in a test yard to obtain a test target load. The data acquisition of the test yard is affected by weather and vehicle states, the time consumption is often long, and the acquired data can be used only by being analyzed and processed by experts. What is more troublesome is that the data acquisition of the test yard is required to be completed after the adjustment and calibration of the test sample car, the calibration of the engine and the gearbox and the part pasting, and then the bench road simulation test can be started. If a part is found to fail during testing, the time window left for the design engineer to solve the problem is often very limited.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a method for obtaining a full vehicle test standard load spectrum based on historical sample information and information of a tested vehicle, so as to effectively solve or alleviate at least one of the existing disadvantages.
One aspect of the embodiments of the present invention relates to a method for obtaining a standard load spectrum of a finished automobile test, which includes:
(a) Obtaining standard load spectrum signals of at least two front wheels or at least two rear wheels based on time domain displacement signals of wheels in historical sample data; and
(b) And obtaining a standard load spectrum based on the wheel base of the tested vehicle and the standard load spectrum signals of the at least two front wheels or the at least two rear wheels.
In the method according to the embodiment of the present invention, optionally, the step (a) includes:
and obtaining standard load spectrum signals of at least two front wheels or at least two rear wheels based on the time domain displacement signals of the wheels in the historical sample data and the coherent function between the left wheel and the right wheel of the tested vehicle.
In the method according to the embodiment of the present invention, optionally, the step (a) includes:
obtaining a displacement self-power spectrum signal of the wheel based on a time domain displacement signal of the wheel in the historical sample data; and
and obtaining standard load spectrum signals of at least two front wheels or at least two rear wheels based on the displacement self-power spectrum signals of the wheels and a coherent function between the left wheel and the right wheel of the tested vehicle.
In the method according to the embodiment of the present invention, optionally, the step (a) includes:
performing frequency domain conversion on the time domain displacement signal of the wheel in the historical sample data to obtain a displacement self-power spectrum signal of the wheel;
fitting the displacement self-power spectrum signals of the wheels to obtain target displacement self-power spectrum signals of the wheels;
obtaining a frequency domain coherence function between a left wheel and a right wheel based on the road surface characteristics of a test yard and the wheel track of a tested vehicle; and
and obtaining standard load spectrum signals of at least two front wheels or at least two rear wheels based on the target displacement self-power spectrum signals of the wheels and the frequency domain coherence function between the left wheel and the right wheel.
In the method according to the embodiment of the present invention, optionally, the fitting includes fitting of normal distribution.
In the method according to the embodiment of the present invention, optionally, the step (b) includes:
calculating time domain delays of front wheels and rear wheels according to the wheelbase of the tested vehicle and the vehicle speed specified in the test standard; and
and obtaining standard load spectrums based on the standard load spectrum signals of the at least two front wheels or the at least two rear wheels and the time domain delays of the front wheels and the rear wheels.
In the method according to an embodiment of the present invention, optionally, the step (a) includes:
fitting time domain displacement signals of the left front wheel and the right front wheel in the historical sample data to obtain standard load spectrum signals of the left front wheel and the right front wheel; and
fitting time domain displacement signals of the left rear wheel and the right rear wheel in the historical sample data to obtain standard load signals of the left rear wheel and the right rear wheel; and is provided with
The step (b) comprises:
calculating time domain delays of front and rear wheels according to the wheelbase of the tested vehicle and the vehicle speed specified in the test standard; and
and obtaining standard load spectrums based on the standard load spectrum signals of the left front wheel and the right front wheel, the standard load spectrum signals of the left rear wheel and the right rear wheel and the time domain delays of the front wheels and the rear wheels.
In the method according to the embodiment of the present invention, optionally, the step (a) further includes:
before fitting the time domain displacement signals in the historical sample data, the time domain displacement signals of all wheels are corrected based on time, and the fitting is carried out based on the corrected time domain displacement signals.
Another aspect of the embodiments of the present invention relates to a method for obtaining a standard load spectrum of a finished automobile test, which includes:
dividing the road surfaces of the test yard into different types, and respectively obtaining standard load spectrums aiming at the different types of road surfaces, wherein the standard load spectrums are obtained according to the method of any one type of road surfaces.
Another aspect of an embodiment of the present invention relates to a method for obtaining a standard load spectrum for a finished automobile test, which includes:
dividing the test yard road surface into different types including a reinforced random road surface, an impact road surface and a low-frequency torsion road surface;
obtaining a standard load spectrum according to the method of any one of items 1-6 above for the reinforced random pavement;
obtaining a standard load spectrum according to the method described in the above item 7 or 8 with respect to the impact road surface; and
and aiming at the low-frequency torsional road surface, obtaining a standard load spectrum based on the elevation of the road surface.
The method for obtaining the standard load spectrum based on the historical sample information and the information of the tested vehicle provided by the embodiment of the invention can save at least part of data acquisition links of a test yard, so that the whole vehicle test is carried out in advance, the test authentication time can be effectively shortened, and the whole vehicle development process is accelerated.
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The invention is explained in detail below with reference to embodiments shown in the drawings, in which:
FIG. 1 shows a flow chart of a method of obtaining a standard load spectrum according to an embodiment of the invention;
FIG. 2 shows a flow chart for obtaining a standard load spectrum for a reinforced random pavement according to an embodiment of the present invention; and
FIG. 3 shows a flow chart for obtaining a standard load spectrum for an impacting road surface in accordance with an embodiment of the present invention.
Detailed Description
Some embodiments of the invention will be described in more detail below with reference to the accompanying drawings. Unless clearly defined otherwise herein, the meaning of scientific and technical terms used herein is that which is commonly understood by one of ordinary skill in the art.
The use of "including," "comprising," or "having" and similar referents herein is to be construed to mean that the specified items are included in the range, as well as equivalents thereof. The terms "or", "or" are not meant to be exclusive, but rather denote the presence of at least one of the referenced items, and include the cases where combinations of the referenced items are possible. The term "and/or" includes any and all combinations of one or more of the referenced items. References herein to "some embodiments" or the like indicate that a particular element (e.g., feature, structure, and/or characteristic) described in connection with the invention is included in at least one embodiment described herein, and may or may not be present in other embodiments. In addition, it is to be understood that the described inventive elements may be combined in any suitable manner.
An aspect of an embodiment of the present invention relates to a method for obtaining a standard load spectrum for a bench road simulation test in a vehicle laboratory, particularly a full vehicle endurance test (e.g., a full vehicle four-column test) based on information (e.g., wheel track and wheel base information) of a vehicle to be tested and sample information (e.g., time domain displacement information of wheels of N samples). By means of the method, for different types of tested vehicles, the standard load spectrum can be obtained as long as the information such as the wheel track, the wheel base and the like of the tested vehicles is known.
The load spectrum refers to a time-domain displacement load signal (time-domain displacement curve) of all wheels (typically, four wheels) of the vehicle. Based on the obtained load spectrum, iterations may be performed to derive drive signals for the gantry for performing endurance tests. In one embodiment, the obtained standard load spectrum is a standard hydraulic cylinder time domain displacement load signal in a whole vehicle four-column test.
As shown in fig. 1, a method 100 for obtaining a standard load spectrum of a durability test of a whole vehicle in an embodiment of the present invention includes: in step 102, obtaining standard load spectrum signals of at least two front wheels or at least two rear wheels based on time domain displacement signals of wheels in historical sample data; and in step 104, obtaining a standard load spectrum based on the wheel base of the tested vehicle and the standard load spectrum signals of the at least two front wheels or the at least two rear wheels.
For some road surface conditions, in step 102, a standard load spectrum time domain signal of at least two front wheels or at least two rear wheels may be obtained based on the time domain displacement signals of the wheels in the historical sample data and the coherence function between the left and right wheels of the tested vehicle. In some embodiments, for the time domain displacement signals in the historical sample data, the time domain displacement signals may be subjected to frequency domain conversion to obtain corresponding frequency domain displacement signals, such as displacement self-power spectrum Position Sensitive Detector (PSD) signals, then the frequency domain displacement signals are fitted to obtain target displacement self-power spectrum signals, and standard load spectrum time domain signals of at least two front wheels or at least two rear wheels are obtained through programmed calculation based on the target displacement self-power spectrum signals of the wheels. In some embodiments, the coherence function between the left and right wheels of the vehicle under test may be obtained based on the test yard road surface characteristics and the track width of the vehicle under test.
For some road surface conditions, in step 102, the time domain displacement signals of the two front wheels and the time domain displacement signals of the two rear wheels in the history sample data may be respectively fitted to obtain the standard load spectrum signals of the two front wheels and the standard load spectrum signals of the two rear wheels respectively.
The fitting described herein may be any fitting method for integrating data of a plurality of samples to obtain target information including a plurality of samples. Typically, the fitting described herein includes a normal distribution fit, such as a particular percentile (e.g., 80%) fit.
For a plurality of wheels of the vehicle, each step may be performed for data of all the wheels, or may be performed for extracting corresponding data of the target wheel from target wheel information to be obtained and for the corresponding data of the target wheel.
In step 104, time domain delays of the front and rear wheels may be calculated from the wheel base of the vehicle under test and the vehicle speed specified in the test standard, and a standard load spectrum may be obtained based on the time domain delays and the standard load spectrum signal obtained in step 102.
If the standard load spectrum signals of the two front wheels are obtained in step 102, the standard load spectrum signals of the two rear wheels can be obtained in step 104; if the standard load spectrum signals of the two rear wheels are obtained in step 102, the standard load spectrum signals of the two front wheels can be obtained in step 104; if the standard load spectrum signals of the two front wheels and the two rear wheels are obtained in step 102, the obtained standard load spectrum signals of the two front wheels and the two rear wheels can be correlated in time by step 104 with the wheel base information.
For a complete vehicle test, typically, the test yard road surface may be divided into different types (e.g., a reinforced random road surface, an impact road surface, and a low-frequency torsion road surface) as required, and the standard load spectrum may be obtained for different types of road surfaces, respectively, wherein the standard load spectrum may be obtained according to the above method for at least one type of road surface.
In one embodiment, as shown in FIG. 2, for a reinforced random pavement, a standard load spectrum may be obtained by a method comprising the steps of:
a) Extracting time domain displacement signals of wheels from the N historical test yard road data samples, wherein the time domain displacement signals of all the wheels of the N historical test yard road data samples or the time domain displacement signals of target wheels of the N historical test yard road data samples comprise time domain displacement signals of all four wheels, namely time domain displacement signals of a left front wheel, a right front wheel, a left rear wheel and a right rear wheel;
b) Respectively carrying out frequency domain conversion on the displacement time domain signals to obtain displacement self-power spectrum PSD signals;
c) Carrying out specific percentile fitting on the self-power spectrum PSD signals according to normal distribution to obtain target displacement self-power spectrum PSD signals of each wheel in the standard load spectrum;
d) Obtaining a frequency domain coherence function between the left wheel and the right wheel according to the road surface characteristics of the test yard and the wheel track of the tested vehicle;
e) Based on the target displacement self-power spectrum PSD signal of each wheel in the standard load spectrum and the frequency domain coherence function between the left wheel and the right wheel, the standard load spectrum signals of the left front wheel and the right front wheel are obtained through programming calculation;
f) Calculating time domain delays of front and rear wheels according to the wheelbase of the tested vehicle and the vehicle speed specified in the test standard; and
g) And obtaining the standard load spectrum signals of the left rear wheel and the right rear wheel based on the time domain delay of the front wheel and the rear wheel and the standard load spectrum signals of the left front wheel and the right front wheel, and obtaining the required standard load spectrum on the basis.
In one embodiment, as shown in fig. 3, for an impact road surface, a standard load spectrum may be obtained by a method comprising the steps of:
a) Extracting time domain displacement signals of wheels from the N historical test yard road data samples, wherein the time domain displacement signals of all the wheels of the N historical test yard road data samples or the time domain displacement signals of target wheels of the N historical test yard road data samples comprise time domain displacement signals of all four wheels, namely time domain displacement signals of a left front wheel, a right front wheel, a left rear wheel and a right rear wheel;
b) Correcting the time domain displacement signals of the wheels of the N samples based on time, for example, unifying the start time and the end time of the impact of each wheel on the road surface to obtain the corrected time domain displacement signals of the wheels;
c) Extracting the time domain displacement signals of the left front wheel and the right front wheel after correction, and carrying out specific percentile fitting on the time domain displacement signals of the left front wheel and the right front wheel according to normal distribution so as to obtain standard load spectrum signals of the left front wheel and the right front wheel;
d) Extracting the corrected time domain displacement signals of the left rear wheel and the right rear wheel, and performing specific percentile fitting on the time domain displacement signals of the left rear wheel and the right rear wheel according to normal distribution to obtain standard load spectrum signals of the left rear wheel and the right rear wheel;
e) Calculating time domain delays of front and rear wheels according to the wheelbase of the tested vehicle and the vehicle speed specified in the test standard; and
g) And synchronously correlating the standard load spectrum signals of the left front wheel and the right front wheel and the standard load spectrum signals of the left rear wheel and the right rear wheel in time based on the time domain delay of the front wheel and the rear wheel, namely performing channel combination based on time to obtain the required standard load spectrum based on the time domain delay.
In one embodiment, for a low frequency torsional road surface, a standard load spectrum may be obtained based on road surface elevation, for example, using MTS PRC Pro software to obtain a standard load spectrum from an elevation fit of the road surface.
The method for obtaining the standard load spectrum provided by the embodiment of the invention can at least partially omit a data acquisition link of a test yard, and can generate the standard load spectrum by software on the basis of acquiring information such as wheel track, wheel base and the like of a tested vehicle, so that the whole vehicle can be carried out in advance, the time of test authentication can be effectively shortened, and the development process of the whole vehicle is accelerated. Meanwhile, the test method can save sampling vehicles, thereby saving high project development cost and having high economic benefit.
The above specific embodiments are provided so that this disclosure will be thorough and complete, and the present invention is not limited to these specific embodiments. It will be understood by those skilled in the art that various changes, substitutions of equivalents, and alterations can be made herein without departing from the spirit of the invention and are intended to be within the scope of the invention.
Claims (8)
1. A method for obtaining a standard load spectrum of a finished automobile test comprises the following steps:
(a) Obtaining standard load spectrum signals of at least two front wheels or at least two rear wheels based on time domain displacement signals of the wheels in the historical sample data and a coherent function between the left wheel and the right wheel of the tested vehicle; and
(b) Calculating time domain delays of front and rear wheels according to the wheelbase of the tested vehicle and the vehicle speed specified in the test standard; and
and obtaining standard load spectrums based on the standard load spectrum signals of the at least two front wheels or the at least two rear wheels and the time domain delays of the front wheels and the rear wheels.
2. The method of claim 1, wherein step (a) comprises:
obtaining a displacement self-power spectrum signal of the wheel based on a time domain displacement signal of the wheel in the historical sample data; and
and obtaining standard load spectrum signals of at least two front wheels or at least two rear wheels based on the displacement self-power spectrum signals of the wheels and a coherent function between the left wheel and the right wheel of the tested vehicle.
3. The method of claim 1, wherein step (a) comprises:
performing frequency domain conversion on the time domain displacement signal of the wheel in the historical sample data to obtain a displacement self-power spectrum signal of the wheel;
fitting the displacement self-power spectrum signal of the wheel to obtain a target displacement self-power spectrum signal of the wheel;
obtaining a frequency domain coherence function between a left wheel and a right wheel based on the road surface characteristics of a test yard and the wheel track of a tested vehicle; and
and obtaining standard load spectrum signals of at least two front wheels or at least two rear wheels based on the target displacement self-power spectrum signals of the wheels and the frequency domain coherence function between the left wheel and the right wheel.
4. The method of claim 3, wherein the fitting comprises a normal distribution fitting.
5. The method of claim 1, wherein step (a) comprises:
fitting time domain displacement signals of the left front wheel and the right front wheel in the historical sample data to obtain standard load spectrum signals of the left front wheel and the right front wheel; and
fitting time domain displacement signals of the left rear wheel and the right rear wheel in the historical sample data to obtain standard load signals of the left rear wheel and the right rear wheel; and is
The step (b) comprises:
calculating time domain delays of front and rear wheels according to the wheelbase of the tested vehicle and the vehicle speed specified in the test standard; and
and obtaining standard load spectrums based on the standard load spectrum signals of the left front wheel and the right front wheel, the standard load spectrum signals of the left rear wheel and the right rear wheel, and the time domain delays of the front wheels and the rear wheels.
6. The method of claim 1, wherein step (a) further comprises:
before fitting the time domain displacement signals in the historical sample data, the time domain displacement signals of all wheels are corrected based on time, and the fitting is carried out based on the corrected time domain displacement signals.
7. A method for obtaining a standard load spectrum of a finished automobile test comprises the following steps:
dividing the test yard pavements into different types and obtaining standard load spectra for the different types of pavements, respectively, wherein the standard load spectra are obtained according to the method of any one of claims 1-6 for at least one type of pavement.
8. A method for obtaining a full vehicle test standard load spectrum, which comprises the following steps:
dividing the test yard road surface into different types including a reinforced random road surface, an impact road surface and a low-frequency torsion road surface;
obtaining a standard load spectrum according to the method of any one of claims 1-4 for the reinforced random pavement;
obtaining a standard load spectrum according to the method of claim 5 or 6 for the impact pavement; and
and aiming at the low-frequency torsional road surface, obtaining a standard load spectrum based on the elevation of the road surface.
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| CN115931280B (en) * | 2023-03-09 | 2023-05-09 | 中国空气动力研究与发展中心低速空气动力研究所 | Real-time monitoring and early warning method and system for astronomical translation dynamic load of hinge moment wind tunnel test |
| CN117268800A (en) * | 2023-08-07 | 2023-12-22 | 中信戴卡股份有限公司 | Load spectrum development system for wheel double-shaft fatigue test |
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